The diploma thesis deals with data quality in connection with legal requirements of the Solvency II regulation, which must be met by insurance companies in order to keep their licences. The aim of this thesis is to consider opportunities and impacts of implementing data quality for Solvency II. All data quality requirements of the regulation were specified and supplemented with possibilities how to meet them. Related data quality areas were also described. Sample variants of manual, partially automated and fully automated solutions with regard to expenditure of costs and time were compared based on knowledge and acquired information. The benefit of this thesis is evaluation of possible positive and negative impacts of implementing data quality for Solvency II taking into account the possibility of introducing data quality across the entire company. General solution variants can be used for decision-making on implementing data quality in most companies out of insurance industry.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:204079 |
| Date | January 2014 |
| Creators | Pastrňáková, Alena |
| Contributors | Bína, Vladislav, Přibil, Jiří |
| Publisher | Vysoká škola ekonomická v Praze |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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